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Softer-than-expected inflation data could reduce the need for additional Fed tightening, while stable labor-market conditions and AI’s gradual productivity benefits continue to shape the economic outlook, according to Goldman Sachs Chief Economist Jan Hatzius. He joined CNBC to discuss his views.

41,477 просмотров • 29 дней назад •via X (Twitter)

Комментарии: 13

Фото профиля Derrick Dao
Derrick Dao28 дней назад

@CNBC 'Gradual' is heavy lifting in the AI productivity line. Nonlinear deployment breaks the neutral rate math entirely.

Фото профиля greatescapex
greatescapex28 дней назад

@CNBC Not sure what is stable about labour market… data cam out much worse than expected…

Фото профиля Roland Brüggemann | EVELIQ Trace
Roland Brüggemann | EVELIQ Trace29 дней назад

The AI-productivity part of this outlook is especially interesting because it sits at the boundary between observed evidence and macroeconomic forecast. AI CAPABILITY IMPROVED ≠ MACRO PRODUCTIVITY EFFECT OBSERVED MICRO PRODUCTIVITY GAIN ≠ AGGREGATE GDP EFFECT FORECAST CONTRIBUTION ≠ REALIZED CONTRIBUTION A stronger evidence chain would connect: AI adoption → task-level productivity → labor/capital reallocation → firm-level output → sector productivity → aggregate productivity → GDP/income effect The difficult part is attribution. If productivity improves while AI adoption, capital investment, labor composition and broader economic conditions are all changing simultaneously, the question becomes: How much of the observed effect can actually be attributed to AI? That makes longitudinal evidence particularly important: baseline, adoption intensity, affected workflows, counterfactual comparison, productivity effect, displacement/reallocation effects and subsequent revalidation. AI may well become a significant macroeconomic productivity driver. The interesting evidence problem is determining when that expected benefit becomes an observed and attributable economic effect.

Фото профиля Traders Of The Realm
Traders Of The Realm29 дней назад

@CNBC The pause isn't neutral. Headline PCE is +3.4% y/y in August, but the last three months annualize at 1.0%. Hold the target at 4.00% and the real rate travels from 0.6% to 3.0% as the y/y rolls down to that run rate. Softer prints tighten policy on their own.

Фото профиля jemelly
jemelly28 дней назад

@CNBC The mix of softer-than-expected inflation and stable labor conditions is important for the Fed outlook. It suggests the policy debate may hinge on how durable the productivity gains prove to be.

Фото профиля Teko Mmolawa
Teko Mmolawa28 дней назад

@CNBC Rate hiking odds could change

Фото профиля Bullish Chart
Bullish Chart28 дней назад

@CNBC Cooling inflation alongside steady hiring gives gradual AI productivity gains real time to compound.

Фото профиля George Dagnino
George Dagnino28 дней назад

@CNBC check import/export prices and producer prices...inflationary pressures are strong....reason for rising interest rates

Фото профиля Garrett Nolan
Garrett Nolan29 дней назад

@CNBC I like the AI angle here. You and @Kamoflawless both understand that even gradual productivity gains can matter if they help the economy grow without creating the same inflation pressure.

Фото профиля Basit Shah
Basit Shah29 дней назад

@CNBC The AI productivity point is the important medium-term variable: if adoption improves output without overheating demand, it can change the policy mix. The test is diffusion beyond frontier firms into ordinary Canadian and global businesses.

Фото профиля The Bullish Broke Guy X
The Bullish Broke Guy X29 дней назад

@CNBC headline PCE at 3.4% with the last three months annualizing hotter — that's the soft landing. cutting rates into that is just policy cosplay 📉

Фото профиля sofie v
sofie v28 дней назад

@CNBC Softer inflation cuts the case for hikes, but it doesn't make cuts automatic. Hatzius frames it as less tightening, not easing. What would actually force the Fed to cut first?

Фото профиля Dr. Rod
Dr. Rod28 дней назад

@CNBC soft inflation plus steady jobs is the sweet spot lol. that combo matters a lot for what comes next

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